Recent Publications

. Sylvester Normalizing Flows for Variational Inference. arXiv: 1803.05649 (2018), to be published in proceedings of UAI, 2018.

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. Graph Convolutional Matrix Completion. arXiv: 1706.02263 (2017), 2017.

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. Modeling Relational Data with Graph Convolutional Networks. arXiv: 1703.06103, published in ESWC 2018, 2017.

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. Separation of Time Scales in a Quantum Newton’s Cradle. Phys. Rev. Lett. 116, 225302 (2016), 2016.

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. Atomic spin-chain realization of a model for quantum criticality. Nature Physics 12, 656–660 (2016), 2016.

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. Competing interactions in semiconductor quantum dots. Phys. Rev. B 90, 155117 (2014), 2014.

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. Probing pairing correlations in Sn isotopes using Richardson-Gaudin integrability. JoP Volume 533, conference 1 (2014), 2014.

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Teaching

I am the instructor and coordinator for the “Machine Learning 1” course of the Master’s program in Artificial Intelligence at the University of Amsterdam.

Previously, I was a teaching Assistent for the following courses:

  • MBA Big Data & Business Analytics: Machine Learning, at the Amsterdam Business School.
  • Electrodynamics, Quantum Mechanics, and Statistical Physics at the University of Amsterdam

Contact

  • riannevdberg@gmail.com
  • Amsterdam Machine Learning Lab, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands